Manometer Validation Set
| dc.contributor.author | Günther, Jonas | |
| dc.contributor.author | Oehler, Martin | |
| dc.contributor.author | Kohlbrecher, Stefan | |
| dc.contributor.author | von Stryk, Oskar | |
| dc.date.accessioned | 2021-07-23T15:26:23Z | |
| dc.date.available | 2021-07-23T15:26:23Z | |
| dc.date.created | 2021 | |
| dc.date.issued | 2021-07-23 | |
| dc.description | The validation set used in the paper Industrial Manometer Detection and Reading for Autonomous Inspection Robots presented at ECMR 2021. The dataset contains (augmented) images of manometers in the Team Hector lab with annotations for the manometer mask and its needle mask. If you use this data in your work, please cite the respective paper. | en_US |
| dc.description.version | 1.0 | en_US |
| dc.identifier.uri | https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2881 | |
| dc.rights.license | CC-BY-4.0 (https://creativecommons.org/licenses/by/4.0) | |
| dc.subject | manometer reading | en_US |
| dc.subject | industrial inspection | en_US |
| dc.subject | object detection | en_US |
| dc.subject | manometer | en_US |
| dc.subject.classification | 4.43-04 | |
| dc.subject.classification | 4.43-05 | |
| dc.subject.ddc | 004 | |
| dc.title | Manometer Validation Set | en_US |
| dc.type | Dataset | en_US |
| dc.type | Image | en_US |
| dcterms.accessRights | openAccess | |
| person.identifier.orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| person.identifier.orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| person.identifier.orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| person.identifier.orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| tuda.history.classification | Version=2016-2020;409-05 Interaktive und intelligente Systeme, Bild- und Sprachverarbeitung, Computergraphik und Visualisierung | |
| tuda.project | PTJ | 03EFLHE061 | EXIST EnergyRobotics | |
| tuda.project | Bund/BMBF | 13N14861 | A-DRZ | |
| tuda.unit | TUDa |
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| Name | Description | Size | Format | |
|---|---|---|---|---|
| manometer_val.tar.gz | Annotated validation set | 2.1 GB |
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